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ECCV
2000
Springer
14 years 9 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ICIP
2004
IEEE
14 years 9 months ago
Estimating the quality of face localization for face verification
Face localization is the process of finding the exact position of a face in a given image. This can be useful in several applications such as face tracking or person authenticatio...
Yann Rodriguez, Fabien Cardinaux, Samy Bengio, Joh...
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
14 years 7 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
SIGMOD
2005
ACM
109views Database» more  SIGMOD 2005»
14 years 7 months ago
Query-Sensitive Embeddings
A common problem in many types of databases is retrieving the most similar matches to a query object. Finding those matches in a large database can be too slow to be practical, es...
Vassilis Athitsos, Marios Hadjieleftheriou, George...
GECCO
2009
Springer
14 years 2 months ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...